Resource Type

Journal Article 9

Year

2022 1

2020 1

2019 1

2018 1

2017 2

2016 1

2015 1

2008 1

open ︾

Keywords

Artificial intelligence 1

Causality 1

Cohort-based retrieval 1

Computer vision 1

Distributed representation 1

Dynamic pruning 1

Functionality 1

Geographic information system 1

Index traversal 1

Intuitive physics 1

Inverted index 1

Kd tree 1

Largest scores first (LSF) retrieval 1

Learning to rank 1

Location-based service 1

Machine learning 1

Map search 1

Perceived intent 1

Plagiarism detection 1

Quad tree 1

open ︾

Search scope:

排序： Display mode:

Semantic composition of distributed representations for query subtopic mining None

Wei SONG, Ying LIU, Li-zhen LIU, Han-shi WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1409-1419 doi: 10.1631/FITEE.1601476

Abstract:

Inferring query intent is significant in information retrieval tasks.Query subtopic mining aims to find possible subtopics for a given query to represent potential intentsstill not clear whether distributed representations are effective in alleviating the challenges of querythis paper, we exploit and compare the main semantic composition of distributed representations for queryempirical results show that distributed semantic representations can achieve outstanding performance for query

Keywords： Subtopic mining     Query intent     Distributed representation     Semantic composition    

HTML PDF Collect

Cohort-based personalized query auto-completion Regular Papers-Research Articles

Dan-yang JIANG, Hong-hui CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1246-1258 doi: 10.1631/FITEE.1800010

Abstract: Query auto-completion (QAC) facilitates query formulation by predicting completions for given queryMost web search engines use behavioral signals to customize query completion lists for users.Our proposals use cohorts’ contextual information together with query frequency to rank completions.We perform extensive experiments on the publicly available AOL query log and compare the ranking effectiveness

Keywords： Query auto-completion     Cohort-based retrieval     Topic models    

HTML PDF Collect

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 47-53

Abstract: approach to semantically condensed multi-relational frequent pattern discovery based on conjunctive query

Keywords： multi-relational data mining     frequent pattern discovery     conjunctive query     condensed pattern    

HTML PDF Collect

A machine learning approach to query generation in plagiarism source retrieval Article

Lei-lei KONG, Zhi-mao LU, Hao-liang QI, Zhong-yuan HAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1556-1572 doi: 10.1631/FITEE.1601344

Abstract: Heuristic-based query generation methods are widely used in the current research.The statistical machine learning approach to query generation for source retrieval is formulated as aknowledge, our work is the first research to apply machine learning methods to resolve the problem of queryWith respect to the established baselines, the experimental results show that applying our proposed query

Keywords： Plagiarism detection     Source retrieval     Query generation     Machine learning     Learning to rank    

HTML PDF Collect

Efficient dynamic pruning on largest scores first (LSF) retrieval

Kun JIANG,Yue-xiang YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1,   Pages 1-14 doi: 10.1631/FITEE.1500190

Abstract:

Inverted index traversal techniques have been studied in addressing the query processing performancefirst (LSF) retrieval, in which the candidates are first selected in the posting list of important queryterms with the largest upper bound scores and then fully scored with the contribution of the remaining querydocument-at-a-time (DAAT) retrieval at the expense of revisiting the posting lists of the remaining queryimportant optimizations called list omitting (LSF_LO) and partial scoring (LSF_PS) that make full use of query

Keywords： Inverted index     Index traversal     Query latency     Largest scores first (LSF) retrieval     Dynamic pruning    

HTML PDF Collect

Current Status and Future Development of Quantum Cryptographic Protocols

Zhang Xue, Gao Fei, Qin Sujuan, Zhang Ping

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 145-155 doi: 10.15302/J-SSCAE-2022.04.015

Abstract: secret sharing, quantum identity authentication, two-party secure computation, and quantum private query" outline_type="title" type="outline">《7.4 Quantum private query》

7.4 Quantum private query

Keywords： quantum cryptography     protocols     quantum key distribution     quantum digital signature     quantum private query    

HTML PDF Collect

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 98-108 doi: 10.1631/FITEE.1400165

Abstract: We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

Keywords： Kd tree     Quad tree     Space partitioning     Spatial indexing     Range queries     Query optimization    

HTML PDF Collect

Finding map regions with high density of query keywords Article

Zhi YU, Can WANG, Jia-jun BU, Xia HU, Zhe WANG, Jia-he JIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1543-1555 doi: 10.1631/FITEE.1600043

Abstract: We consider the problem of finding map regions that best match query keywords.and its extensions, to find regions of interest by estimating the density of locations containing the query

Keywords： Map search     Region search     Region recommendation     Spatial keyword search     Geographic information system     Location-based service    

HTML PDF Collect

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Feature Article

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

Engineering 2020, Volume 6, Issue 3,   Pages 310-345 doi: 10.1016/j.eng.2020.01.011

Abstract: We identify functionality, physics, intent, causality, and utility (FPICU) as the five core domains of

Keywords： Computer vision     Artificial intelligence     Causality     Intuitive physics     Functionality     Perceived intent    

HTML PDF Collect

Title Author Date Type Operation

Semantic composition of distributed representations for query subtopic mining

Wei SONG, Ying LIU, Li-zhen LIU, Han-shi WANG

Journal Article

Cohort-based personalized query auto-completion

Dan-yang JIANG, Hong-hui CHEN

Journal Article

Semantically condensed multi-relational frequent pattern discovery based on conjunctive query containment

Yang Bingru,Zhang Wei,Qian Rong

Journal Article

A machine learning approach to query generation in plagiarism source retrieval

Lei-lei KONG, Zhi-mao LU, Hao-liang QI, Zhong-yuan HAN

Journal Article

Efficient dynamic pruning on largest scores first (LSF) retrieval

Kun JIANG,Yue-xiang YANG

Journal Article

Current Status and Future Development of Quantum Cryptographic Protocols

Zhang Xue, Gao Fei, Qin Sujuan, Zhang Ping

Journal Article

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Journal Article

Finding map regions with high density of query keywords

Zhi YU, Can WANG, Jia-jun BU, Xia HU, Zhe WANG, Jia-he JIN

Journal Article

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

Journal Article